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Overnight Ai Data Labeling Jobs in Tennessee (NOW HIRING)

Zappsec Inc.

Deployment Engineer

Memphis, TN · On-site

Deploying Client's AI data center infrastructure across new builds, expansions, refreshes, and high-density compute deployments * Racking, stacking, cabling, labeling, and validating servers, PDUs ...

Accenture

Data Protection Consultant

Nashville, TN

$112K - $133K/yr

Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced ... Build awareness and controls for emerging AI and agentic AI security considerations (e.g., Security ...

CBRE

Union Data Center Technician

Memphis, TN · On-site

Affixing Labels to cabling and Power Cords * Affix bar coding to equipment * Affix free printed ... Applicant AI Use Disclosure: We value human interaction to understand each candidate's unique ...

Accenture

Data Protection, Manager

Nashville, TN

$150K - $178K/yr

Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced ... Build awareness and controls for emerging AI and agentic AI security considerations (e.g., Security ...

Accenture

Data Protection, A/SA-Evergreen

Nashville, TN

$84K - $100K/yr

... labels/encryption, DLP policies, data classification/discovery, Insider Risk Management ... Contribute to emerging areas such as AI and agentic AI security, under guidance. . Qualifications ...

Accenture

Data Protection Consultant

Nashville, TN

$112K - $133K/yr

Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced ... Build awareness and controls for emerging AI and agentic AI security considerations (e.g., Security ...

CBRE

Cable Installer- Data Center

Gallatin, TN · On-site

... wave of AI/ML platforms. POSITION: Cable Installer About the Role: Data Center Installer with ... Label/Install copper and fiber jumpers * Perform 4 pair continuity testing * Exhibit quality ...

Welo Data

English AI Maps Trainer

Nashville, TN · Remote

$20.30/hr

What if your knowledge English language could help improve the AI.     WHAT YOU'LL DO   ... Labels too small"). YOU ARE A FIT IF YOU...   * Have an eye for artistic detail and intuitive ...

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Overnight Ai Data Labeling information

What is overnight AI data labeling?

Overnight AI data labeling involves annotating and categorizing data, such as images, videos, or text, during nighttime hours to prepare it for use in training artificial intelligence models. This work typically requires attention to detail and accuracy, as the quality of labeled data directly affects AI performance. Overnight shifts are often used by companies to ensure a continuous workflow and to accelerate project timelines. Data labelers may use specialized tools to tag, classify, or segment data according to specific guidelines provided by clients or employers.

What are the key skills and qualifications needed to thrive as an overnight AI data labeler, and why are they important?

To thrive as an Overnight AI Data Labeler, you need strong attention to detail, accuracy, and the ability to follow complex instructions, often supported by a high school diploma or relevant experience. Familiarity with data labeling platforms, annotation tools, and basic computer applications is typically required. Strong time management, self-motivation, and dependable communication are essential soft skills for working independently during overnight shifts. These skills ensure high-quality, consistent data annotation that directly impacts the performance and reliability of AI models.

What are some common challenges faced by overnight AI data labeling professionals, and how can they be addressed?

Overnight AI data labeling professionals often face challenges such as maintaining focus during late hours, managing screen fatigue, and adapting to fast-paced project requirements. To address these, it's important to establish a consistent sleep schedule, take regular short breaks to rest your eyes, and stay organized by tracking progress against nightly goals. Collaborating with teammates through scheduled check-ins or chat platforms can also help maintain motivation and ensure high-quality results, even during less traditional work hours.

What is the difference between Overnight Ai Data Labeling vs Data Annotation Specialist?

AspectOvernight Ai Data LabelingData Annotation Specialist
CredentialsBasic computer skills, attention to detailSimilar, often requires familiarity with annotation tools
Work EnvironmentRemote or flexible hours, often project-basedOffice or remote, depending on employer
Industry UsageCommon in AI and machine learning projectsUsed across AI, healthcare, autonomous vehicles
Search IntentFocus on overnight or flexible schedulingBroader annotation roles, less emphasis on timing

Overnight Ai Data Labeling typically involves quick turnaround tasks with flexible hours, often performed remotely. Data Annotation Specialists may have similar skills but usually work regular hours and may handle more complex annotation tasks. Both roles are essential in AI development, but Overnight Ai Data Labeling emphasizes speed and flexibility, whereas Data Annotation Specialists focus on detailed, accurate labeling across various industries.

What are the most commonly searched types of Ai Data Labeling jobs in Tennessee?

The most popular types of Ai Data Labeling jobs in Tennessee are:

What are popular job titles related to Overnight Ai Data Labeling jobs in Tennessee?

For Overnight Ai Data Labeling jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Overnight Ai Data Labeling jobs in Tennessee look for?

The top searched job categories for Overnight Ai Data Labeling jobs in Tennessee are:

What cities in Tennessee are hiring for Overnight Ai Data Labeling jobs?

Cities in Tennessee with the most Overnight Ai Data Labeling job openings:

Overnight Ai Data Labeling jobs near you
Infographic showing various Overnight Ai Data Labeling job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution.

AI Data Center Infrastructure Deployment Specialist

Memphis, TN • On-site

Indus Group Inc
11 - 50 employees
Learn more about Indus Group Incexternal

Other

Posted 21 hours ago

Posted today

Job description


AI Data Center Infrastructure Deployment Specialist

Location: Memphis, TN – Onsite with Travel

Work Arrangement: Onsite

Travel: Domestic and international travel may be required based on project needs

Position Summary

We are seeking an experienced Data Center Infrastructure Deployment Specialist to support the deployment, validation, troubleshooting, and operational readiness of physical infrastructure supporting large-scale AI data center environments. The ideal candidate will have hands-on experience with GPU/HPC infrastructure, servers, networking, cabling, storage, Linux, rack deployments, and data center operations.

This role requires a highly hands-on, operationally focused professional who can work effectively in fast-moving deployment environments, troubleshoot infrastructure issues, coordinate with multiple teams, and ensure deployments meet quality, safety, and operational standards.

What You'll Be Doing
  • Join a team responsible for building and scaling the physical infrastructure supporting new AI data center deployments.
  • Support operational readiness for new AI data center builds, expansions, and deployment projects.
  • Deploy physical infrastructure across new builds, expansions, and future deployments.
  • Install, inspect, validate, and troubleshoot servers, PDUs, network platforms, and related infrastructure.
  • Work with racks, switches, routers, storage systems, GPU components, and other data center hardware.
  • Execute deployment workstreams using established runbooks, rack maps, checklists, and validation workflows.
  • Work against client standards for rack and physical infrastructure readiness.
  • Follow deployment procedures, internal tools, and automation workflows to ensure network and infrastructure readiness.
  • Troubleshoot optic issues, hardware faults, cabling problems, deployment blockers, and link inconsistencies.
  • Troubleshoot Linux OS and network-adjacent issues during infrastructure deployment.
  • Work with contractors and internal teams to identify and correct build-quality issues and deployment problems.
  • Provide deployment support and respond to high levels of operational demand based on project requirements.
Responsibilities
  • Submit RMAs, track remote work requests, and manage shipping, receiving, and component inventory during deployment projects.
  • Provide clear status updates on assigned workstreams, including progress, blockers, risks, and estimated completion.
  • Partner with Data Center Operations, Network Engineering, Infrastructure Engineering, Logistics, Facilities, Security, and external vendors to support deployment readiness.
  • Support the handoff of deployed infrastructure into steady-state operations.
  • Participate in lessons-learned activities and contribute to improvements in runbooks, validation workflows, and deployment procedures.
  • Follow all safety, security, quality, and operational standards while working in active data center environments.
  • Independently execute standard deployment workstreams while maintaining high-quality standards.
  • Identify and resolve physical infrastructure issues, including incorrect labeling, improper cable routing, rack elevation mismatches, optic issues, and hardware placement errors.
  • Coordinate with contractors to correct deployment and build-quality issues.
  • Support project schedules, operational priorities, and deployment milestones in a fast-paced environment.
Required Qualifications
  • 5+ years of overall experience in infrastructure deployment, operations, or technical support.
  • 2+ years of hands-on experience deploying, operating, or supporting infrastructure in AI data centers, GPU/HPC environments, cloud environments, labs, networking, or technical operations.
  • Hands-on experience deploying and troubleshooting GPU servers, switches, storage systems, PDUs, optics, cabling, and related data center infrastructure.
  • Strong understanding of AI data center cabling standards, rack layouts, labeling practices, power paths, and physical deployment best practices.
  • Strong troubleshooting skills across hardware, cabling, Linux OS, and network connectivity.
  • Strong Linux command-line experience, including terminal sessions, logs, and standard diagnostic commands.
  • Familiarity with scripting, automation workflows, or tools used to validate hardware, cabling, and connectivity.
  • Ability to independently execute standard deployment workstreams with minimal supervision.
  • Ability to identify physical infrastructure issues such as deviations, incorrect labeling, improper cable routing, rack elevation mismatches, optic issues, and hardware placement errors.
  • Experience with inventory management, asset tracking, and RMA processes.
  • Strong verbal and written communication skills.
Preferred Skills
  • Experience supporting large-scale AI/GPU data center deployments.
  • Experience with GPU/HPC infrastructure and high-density rack environments.
  • Knowledge of data center networking, optics, structured cabling, and connectivity validation.
  • Experience working with contractors, vendors, and cross-functional engineering teams.
  • Familiarity with deployment runbooks, rack maps, checklists, and infrastructure validation processes.
  • Experience with automation and scripting for infrastructure validation and troubleshooting.
Additional Requirements
  • Ability to work onsite in Memphis, TN.
  • Willingness and ability to travel domestically and internationally as required by project needs.
  • Ability to work standard hours and support project-based rotations when required.
  • Valid driver's license and ability to drive as needed.
  • Ability to remain on your feet throughout the workday in an active data center environment.
  • Ability to lift and handle objects weighing up to 50 lbs.
  • Ability to work in a fast-moving environment with shifting priorities, tight timelines, and limited local support.
Core Competencies
  • Data Center Infrastructure Deployment
  • AI / GPU / HPC Infrastructure
  • Server & Hardware Deployment
  • Network & Structured Cabling
  • Linux Troubleshooting
  • Rack & Physical Infrastructure
  • Hardware & Connectivity Troubleshooting
  • RMA & Inventory Management
  • Deployment Validation
  • Runbooks & Operational Procedures
  • Cross-Functional Collaboration
  • Contractor/Vendor Coordination
  • Safety & Quality Compliance

Thanks & Regards

Mayank Chaudhary

Sr. Technical Recruiter (US Talent Acquisition)

Phone: +1 (907) 615-4847 (Ext. 3114)

Email: mayank@metablackllc.com

Meta Black LLC

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